Sökning: "Video on Demand"

Visar resultat 16 - 20 av 201 uppsatser innehållade orden Video on Demand.

1. 16. Online Sample Selection for Resource Constrained Networked Systems

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Philip Sjösvärd; Samuel Miksits; [2022]
   Nyckelord :Online learning; Sample Selection; Real-time Learning; Random Forest; Reservoir Sampling; Relevance and Redundancy; Binned Distribution; Autoregressive Model; Change Detection; Model Re-computation;

   Sammanfattning : As more devices with different service requirements become connected to networked systems, such as Internet of Things (IoT) devices, maintaining quality of service becomes increasingly difficult. Large data sets can be obtained ahead of time in networks to train prediction models offline, however, resulting in high computational costs. LÄS MER

3. 17. An essay on the discursive state of Sustainable Food Transitions : A discourse analysis of an experimental food company’s marketing material, the “Liberation of Protein Production”

   Magister-uppsats, Uppsala universitet/Industriell teknik

   Författare :Alex Ljung; [2022]
   Nyckelord :Discourse analysis; Food transitions; Experimental Foods; Sustainability;

   Sammanfattning : The thesis' purpose is to investigate the discursive state of sustainable food transitions by examining how Industry, as exemplified by an experimental food company namely Solar Foods at the forefront of the field, communicate and add to this discourse, as observed in their marketing video series Liberators of Protein Production, as well as how it reflects hegemonic discourses, chiefly seen to the amalgamated actors Government and Populace. Discourse theory is used and established as an admittedly austere methodological apparatus as well as analytical framework to collect data and map the discursive landscape, meaning what discourses are communicated and their relations to each other as well as said hegemonic discourses. LÄS MER

4. 18. Detecting gastrointestinal abnormalities with binary classification of the Kvasir-Capsule dataset : A TensorFlow deep learning study

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Mathias Hollstensson; [2022]
   Nyckelord :TensorFlow; Image classification; Transfer learning; Binary classification; Data augmentation; Video capsule endoscopy; Kvasir-Capsule.;

   Sammanfattning : The early discovery of gastrointestinal (GI) disorders can significantly decrease the fatality rate of severe afflictions. Video capsule endoscopy (VCE) is a technique that produces an eight hour long recording of the GI tract that needs to be manually reviewed. LÄS MER

5. 19. Emotion AI in Mental Healthcare : How can affective computing enhance mental healthcare for young adults?

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Nassim Sheykholeslami; [2022]
   Nyckelord :Artificial Intelligence; Emotion AI; Affective Computing; Machine Learning; Mental Health; Digital Mental Health Applications; mHealth; Anxiety; Depression; Psychological Therapy; COVID-19; Artificiell intelligens; känslobaserad AI; affektiv databehandling; maskininlärning; psykisk hälsa; digitala tillämpningar för psykisk hälsa; mHälsa; ångest; depression; psykologisk terapi; COVID-19;

   Sammanfattning : There has been a stigma attached to mental health for years, with many people afraid to seek help from mental health professionals due to negative stereotypes about those seeking help. Young adults in particular are still reluctant in regards to seeing a therapist since they are ashamed, do not want to show weakness or they perceive their need for therapy as low. LÄS MER

7. 20. Improving Recommender Engines for Video Streaming Platforms with RNNs and Multivariate Data

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Daniel Pérez Felipe; [2022]
   Nyckelord :Recurrent neural networks; Recommender systems; Video on demand; Clustering methods; Återkommande neurala nätverk; Rekommendationssystem; Video på begäran; Klustermetoder; Redes neuronales recurrentes; Sistemas de recomendación; Vídeo bajo demanda; Métodos de clustering;

   Sammanfattning : For over 4 years now, there has been a fierce fight for staying ahead in the so-called ”Streaming War”. The Covid-19 pandemic and its consequent confinement only worsened the situation. In such a market where the user is faced with too many streaming video services to choose from, retaining customers becomes a necessary must. LÄS MER